Imagine hiring a brilliant assistant, handing them a 200-page manual, and asking a question. They read all 200 pages, answer, and then promptly forget everything. Next question? They read all 200 pages again. And you pay them by the page. That’s roughly how large language models (LLMs) work by default. Prompt caching is the fix. […]
Read More →If you’ve been anywhere near the AI development world lately, you’ve probably heard about MCP — the Model Context Protocol. And your first reaction was probably: “Isn’t this just… an API?” Fair question. Both let systems talk to each other. Both move data around. But MCP and APIs solve fundamentally different problems, and once you see […]
Read More →DeepSeek, a powerful open-source LLM, can be easily run locally on your desktop/laptop using Ollama. I’m using an M1 MacBook Pro with 32GB. Ollama simplifies the process of running large language models, handling dependencies and providing a consistent interface. This guide will walk you through installing DeepSeek via Ollama, making it accessible with just a […]
Read More →To meet the White House mandate to set the data free, The Open Innovation team @ NASA enables users, access to data in a format that is useful. In doing so, they hope to spark your creative juices and equip you with tools to innovate your world – whether local, global, or interstellar – leveraging […]
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